电子器件2018，Vol.41Issue(3)：593-598,6.DOI:10.3969/j.issn.1005-9490.2018.03.009
基于特征值极限分布理论的盲多天线频谱感知算法
A Blind Multiple Antenna Spectrum Sensing Algorithm Based on the Limiting Distribution Theory of Eigenvalues
摘要
Abstract
The eigenvalues of the sampling covariance matrix of the received signal approximately equal to the noise variance when the channel is idle,while the presence of the primary user signal changes the values of these eigen-values. Based on this fact, an eigenvalue based multiple antenna spectrum sensing algorithm is proposed. The proposed algorithm takes the ratio of the maximum eigenvalue of the sample covariance matrix to the sum of other eigenvalues as the test statistic. By utilizing the limiting distribution theory of eigenvalues of the large dimensional random matrix,the probability of false-alarm and the decision threshold are theoretically analyzed. The proposed algorithm does not need to know the prior information of noise variance, primary user signal and channel gain in advance. Therefore,the new algorithm is a fully blind multiantenna spectrum sensing algorithm,which has wide application scope. Further numerical simulation results verify the effectiveness of the new method.关键词
认知无线电/盲频谱感知/取样协方差矩阵/特征值/极限分布理论Key words
cognitive radio/blind spectrum sensing/sample covariance matrix/eigenvalues/limiting distribution theory分类
信息技术与安全科学引用本文复制引用
倪真,胡力,刘耀峰,王向明,雷可君..基于特征值极限分布理论的盲多天线频谱感知算法[J].电子器件,2018,41(3):593-598,6.基金项目
国家自然科学基金项目( 61362018,61102089) （ 61362018,61102089）
湖南省教育厅重点科研项目( 16A174) （ 16A174）
吉首大学博士人才引进项目( JSDX2014) （ JSDX2014）
